{"id":"W2972228416","doi":"","title":"Une station météorologique beaucoup moins dispendieuse, performante et plus flexible?","year":2017,"lang":"fr","type":"article","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01068203,0.000919121,0.00140702,0.00339933,0.003653453,0.01032391,0.00233178,0.002339943,0.01590783],"category_scores_gemma":[0.01122122,0.0007486531,0.0008087168,0.00721698,0.002188741,0.005316244,0.002068609,0.002828144,0.006645672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01460655,"about_ca_system_score_gemma":0.03309652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6979237,"about_ca_topic_score_gemma":0.7345151,"domain_scores_codex":[0.9952815,0.00146936,0.0003035586,0.0009601107,0.001334758,0.0006505604],"domain_scores_gemma":[0.9821515,0.00189868,0.0009266682,0.003854025,0.009281781,0.001887353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009584219,0.0001561248,0.1579932,0.001878655,0.000402229,0.0009883372,0.006029109,0.006525789,0.01590505,0.04469896,0.2587679,0.5056961],"study_design_scores_gemma":[0.00006440393,0.00006101928,0.09223734,0.0008762815,0.0001193356,0.0001946795,0.002573352,0.001868011,0.001863932,0.003037939,0.8969316,0.0001721137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1719841,0.07530417,0.1606375,0.2082752,0.01797094,0.001033212,0.05950048,0.01653076,0.2887636],"genre_scores_gemma":[0.588114,0.0192788,0.2162099,0.007673915,0.004366754,0.0006316955,0.02868139,0.003185679,0.1318578],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3020763,"threshold_uncertainty_score":0.6077106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776553084867243,"score_gpt":0.2553583229644592,"score_spread":0.2375927921157868,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}